Bioinformatics has evolved as a great tool for molecular biologists. There are various tools available for helping in reducing the time required to analyze biological materials be it DNA, RNA, Proteins etc. I wish to list here few of the commonly used tools. Please send me suggestions to improve the content. If you like or dislike something, let me know, your inputs matters. contact me: drsanjivk[at]gmail[dot]com

Functional annotation of the gigantic metagenomic data is one of the major time-consuming and computationally demanding tasks, which is currently a bottleneck for the efficient analysis. The commonly used homology-based methods to functionally annotate and classify proteins are extremely slow. Therefore, to achieve faster and accurate functional annotation, we have developed an orthology-based functional classifier 'Woods' by using a combination of machine learning and similarity-based approaches. Woods displayed a precision of 98.79% on independent genomic dataset, 96.66% on simulated metagenomic dataset and >97% on two real metagenomic datasets. In addition, it performed >87 times faster than BLAST on the two real metagenomic datasets. Woods can be used as a highly efficient and accurate classifier with high-throughput capability which facilitates its usability on large metagenomic datasets.